Tech Stack
PythonETLSQL
Job Description, Responsibilities & Requirements
Description language:
About the Position
We are looking for a skilled Data Engineer with 5+ years of experience to design, implement, and maintain efficient data pipelines and storage solutions.
Responsibilities
- Communicate with both technical and non-technical audiences to gather requirements
- Review and analyze data and logic to ensure consistency and accuracy
- Design, implement, and maintain data pipelines for efficient data flow
- Integrate and support developed solutions
- Research and evaluate third-party components for potential use
- Follow best engineering practices: refactoring, code review, testing, continuous delivery, and Scrum
- Design, optimize, and support data storage
Requirements
- At least 5+ years of experience in data engineering
- Experience in requirement gathering and communication with stakeholders
- Strong knowledge of DWH (data warehouse) architecture and principles
- Practical experience building ETL pipelines and designing data warehouses
- Deep experience with Python with a strong focus on PySpark
- Proficiency in SQL and databases such as PostgreSQL, ClickHouse, MySQL
- Hands-on experience with data scraping and integrating third-party sources and APIs
- Solid understanding of software design patterns, algorithms, and data structures
- Intermediate English proficiency
Nice to Have
- Experience with RabbitMQ or Kafka
- Understanding of web application architecture
- Familiarity with DataOps practices
- Background in FinTech or Trading domains
We Offer
- Tax expenses coverage for private entrepreneurs in Ukraine
- Expert support and guidance for Ukrainian private entrepreneurs
- 20 paid vacation days per year
- 10 paid sick leave days per year
- Public holidays as per the company’s approved Public holiday list
- Medical insurance
- Opportunity to work remotely
- Professional education budget
- Language learning budget
- Wellness budget (gym membership, sports gear, and related expenses)